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Lead Data Scientist
Metadata Technology North America
Lead Data Scientist
Metadata Technology North America's logo

Lead Data Scientist

at Metadata Technology North America

Agency job
8 - 16 yrs
₹20L - ₹50L / yr
Remote only
Skills
skill iconData Science
skill iconMachine Learning (ML)
skill iconPython
sagemaker
skill iconGo Programming (Golang)
Scikit-Learn
pandas
NumPy
skill iconAmazon Web Services (AWS)
skill iconData Analytics
TensorFlow
Apache Kafka
Real time media streaming
Airflow
Data Scientist Lead / Manager
Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.

Location: Pune (Initially remote due to COVID 19)

*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.


About the Organisation :

- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.

- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.

- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.


Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure

Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only

Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills

Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras
Read more
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